According to AlphaMoat, as of 2026-10, Agent Browser has 20,442 downloads and 3 stars — ranked by downloads #1,378 among 10,914 AI skills in this ranking, and #192 of 1,632 in AI Agent.
The list defaults to total downloads and can also be sorted by stars; detail-page rankings use total downloads.
| Platform | Downloads | Stars | Comments |
|---|---|---|---|
| ClawHub ↗ | 19.4K | 3 | - |
| SkillHub ↗ | 20.4K | 3 | — |
Platforms count differently and update at different times.
The skill lets agents navigate pages, fill forms, click buttons, take screenshots, extract data, scrape, and test web apps through the agent-browser CLI. The core flow is open a page, snapshot to get element references, interact by reference, then re-snapshot. It supports saved login state, session reuse, and optional security environment variables such as content boundaries, domain allowlist, and output limits. Installation runs a setup script and requires Node.js. Browser actions depend on the installed runtime, permissions and page state; inspect the target and confirm consequential form submissions or account changes.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-10 | 20.4K | — | 3 |
| 2026-09 | 19.0K | — | 3 |
| 2026-08 | 18.5K | +4.3% | 3 |
| 2026-07 | 17.7K | — | 3 |
| 2026-05 | 13.2K | — | 3 |
| 2026-03 | 6.5K | — | 2 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
--- name: agent-browser description: Headless browser automation CLI for AI agents. Use when interacting with websites — navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, scraping, testing web apps, downloading files, or automating any browser task. Triggers on requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data", "test this web app", "login to a site", "monitor a page", or any task requiring programmatic web interaction. --- # Browser Automation with agent-browser ## Setup Run `scripts/setup.sh` to install agent-browser and Chromium. Requires Node.js.
## Core Workflow Every browser automation follows this pattern: 1. **Navigate**: `agent-browser open <url>` 2. **Snapshot**: `agent-browser snapshot -i` (get element refs like `@e1`, `@e2`) 3. **Interact**: Use refs to click, fill, select 4. **Re-snapshot**: After navigation or DOM changes, get fresh refs ```bash agent-browser open https://example.com/form agent-browser snapshot -i # Output: @e1 [input type="email"], @e2 [input type="password"], @e3 [button] "Submit" agent-browser fill @e1 "[email protected]" agent-browser fill @e2 "password123" agent-browser click @e3 agent-browser wait --load networkidle agent-browser snapshot -i # Check result ``` ## Command Chaining Chain with `&&` when you don't need intermediate output: ```bash agent-browser open https://example.com && agent-browser wait --load networkidle && agent-browser snapshot -i ``` Run separately when you need to parse output first (e.g., snapshot to discover refs). ## Essential Commands ```bash # Navigate agent-browser open <url> agent-browser close # See the page (always do this first) agent-browser snapshot -i # Interactive elements with refs agent-browser snapshot -i -C # Include onclick divs # Interact using @refs agent-browser click @e1 agent-browser fill @e2 "text" agent-browser select @e1 "option" agent-browser press Enter agent-browser scroll down 500 # Get info agent-browser get text @e1 agent-browser get url agent-browser get title # Wait agent-browser wait @e1 # For element agent-browser wait --load networkidle # For network idle # Capture agent-browser screenshot page.png agent-browser screenshot --full # Full page agent-browser pdf output.pdf ``` For the full command reference, see `references/commands.md`. ## Ref Lifecycle (Important) Refs (`@e1`, `@e2`) are invalidated when the page changes. Always re-snapshot after: - Clicking links/buttons that navigate - Form submissions - Dynamic content loading (dropdowns, modals) ## Common Patterns ### Form Submission ```bash agent-browser open https://example.com/signup agent-browser snapshot -i agent-browser fill @e1 "Jane Doe" agent-browser fill @e2 "[email protected]" agent-browser select @e3 "California" agent-browser click @e5 agent-browser wait --load networkidle ``` ### Login with State Persistence ```bash agent-browser open https://app.example.com/login agent-browser snapshot -i agent-browser fill @e1 "$USERNAME" && agent-browser fill @e2 "$PASSWORD" agent-browser click @e3 agent-browser wait --url "**/dashboard" agent-browser state save auth.json # Reuse later agent-browser state load auth.json agent-browser open https://app.example.com/dashboard ``` ### Data Extraction ```bash agent-browser open https://example.com/products agent-browser snapshot -i agent-browser get text @e5 agent-browser get text body > page.txt ``` ### Screenshot & Diff ```bash agent-browser screenshot baseline.png # ... changes happen ... agent-browser diff screenshot --baseline baseline.png ``` ### Parallel Sessions ```bash agent-browser --session site1 open https://site-a.com agent-browser --session site2 open https://site-b.com agent-browser session list ``` ## Security (Optional) ```bash export AGENT_BROWSER_CONTENT_BOUNDARIES=1 # Wrap output for AI safety export AGENT_BROWSER_ALLOWED_DOMAINS="example.com" # Domain allowlist export AGENT_BROWSER_MAX_OUTPUT=50000 # Prevent context flooding ``` ## Cleanup Always close sessions when done: `agent-browser close`
Records learnings, errors and corrections as Markdown files for later reuse and promotion into workspace memory.
Finds skills in local and remote catalogs from a plain-language request and recommends what to install.
A browser-automation command line skill for AI agents.
Turns corrections and self-review into tiered memory and promotes or archives it by use.
A workspace setup guide for planning proactive follow-up, working memory and review routines for an AI agent.
A guide to creating and updating effective Claude skills.
Reviews a third-party skill's source, permissions, and danger patterns against a checklist before it is installed.
以李白(701—762,字太白,号青莲居士,世称诗仙)的诗学观、意象系统与口吻,进行唐诗赏析、文学评论、考据问答与拟体创作。触发词:李白、李太白、太白、青莲居士、诗仙、谪仙人、将进酒、静夜思、蜀道难、唐诗、盛唐诗人、浪漫主义诗人、拟李白风格、以李白视角、李白会怎么写、用李白口吻。能力:诗词鉴赏与风格DNA解析、诗学观与文学谱系评述、诗句出处考据与真伪边界标注、以李白口吻答问、拟李白体旧体诗(必显式标注非原作)。适用边界:仅用于唐代文学与古典诗歌相关话题,非此类话题不触发;本 skill 为文学普及与研究辅助,不代表李白本人立场,所拟之作均非李白原作;涉及生平佚事、篇目归属等内容不构成学术定论,皆标存疑或待考。
Data as of 2026-10. Downloads and stars are aggregated monthly from public skill registries (ClawHub, SkillHub). See data methodology.